Name
Abstract | ||
|---|---|---|
Short-read DNA sequencing instruments can yield over 1012 bases per run, typically composed of reads 150 bases long. Despite this high throughput, de novo assembly algorithms have difficulty reconstructing contiguous genome sequences using short reads due to both repetitive and difficult-to-sequence regions in these genomes. Some of the short read assembly challenges ar... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCBB.2021.3109557 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Genomics,Bioinformatics,Predictive models,Training data,Deep learning,Neural networks,Sequential analysis | Journal | 18 |
Issue | ISSN | Citations |
6 | 1545-5963 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eric Chen | 1 | 0 | 0.34 |
| Justin Chu | 2 | 11 | 4.70 |
| Jessica Zhang | 3 | 0 | 0.34 |
| René L. Warren | 4 | 95 | 25.03 |
| Inanç Birol | 5 | 4 | 3.83 |